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Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

A. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (June 2022)
DOI: 10.48550/arXiv.2206.14503

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Efficient raycasting of volumetric depth images for remote visualization of large volumes at high frame ratesA. Gupta, U. Günther, P. Incardona, G. Reina, S. Frey, S. Gumhold, and I. Sbalzarini. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), IEEE, (April 2023)MegaMolâ„¢ - for Fun and ProfitS. Grottel, M. Krone, C. Müller, G. Reina, and T. Ertl. (2016)Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume dataA. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. arXiv preprint arXiv:2206.14503, (2022)Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume dataA. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (June 2022)Parallel compositing of Volumetric Depth Images for interactive visualization of distributed volumes at high frame ratesA. Gupta, P. Incardona, A. Brock, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (2022)2016 IEEE scientific visualization contest winner: Visual and structural analysis of point-based simulation ensemblesP. Gralka, S. Grottel, J. Staib, K. Schatz, G. Karch, M. Hirschler, M. Krone, G. Reina, S. Gumhold, and T. Ertl. IEEE Comput. Graph. Appl., 38 (3): 106--117 (May 2018)

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Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

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Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data